The training efficiency of complex deep learning models can be significa...
This paper proposes an unsupervised data selection method by using a
sub...
Rapid detection and mitigation of issues that impact performance and
rel...
In this paper, we consider the problem of wireless federated learning ba...
Federated learning is a privacy-preserving and distributed training meth...